Test 3 Statistics- Chapters 5-6

Front 1

Random variable

Back 1

variable whose values are determined by chance

Front 2

Discrete probability distribution

Back 2

consists of the values a random variable can assume and the corresponding probabilities of the values; determined theoretically or by observation

Front 3

two requirements of probability distribution

Back 3

the sum of the probabilities equal one, probability of each event must be equal to 0 and 1

Front 4

Formula for the mean of a probability distribution

Back 4

sum of X*P(X)

Front 5

Formula for the variance of a probability distribution

Back 5

multiply the square of each outcome by its probability, summing these products, and subtracting the square of the mean

Front 6

Expected value

Back 6

theoretical average of the variable; theoretical mean of the probability distribution

Front 7

formula for expected value

Back 7

E(X)= sum of X*P(X)

Front 8

binomial experiment

Back 8

probability experiment, there must be a fixed number of trials, each trial can have only two outcome or reduced to two, outcomes of each trial must be independent of each other, probability of success remains the same for each trial

Front 9

binomial distribution

Back 9

the outcomes of a binomial experiment and the corresponding probabilities of these outcomes